噪声与振动控制2017，Vol.37Issue(6)：168-172,5.DOI:10.3969/j.issn.1006-1355.2017.06.034
行星齿轮箱振动信号特征提取新方法
A New Method for Feature Extraction of Vibration Signals of Planetary Gearboxes
李伟 1王付广 1刘聪 1徐培民1
作者信息
- 1. 安徽工业大学 机械工程学院,安徽 马鞍山 243032
- 折叠
摘要
Abstract
Compared with bearing and fixed axle gearboxes, it is more difficult to extract the fault characteristics of the planetary gearboxes. And the traditional method is not good enough for the fault diagnosis of planetary gearboxes. In this paper, a new method of fault feature extraction based on wavelet packet entropy and RMS is proposed so as to find the nonlinear and complex characteristics from the fault vibration signals of planetary gearboxes. Firstly, the original signal is equally intercepted to obtain sample signals. Then, the wavelet packet transform is used to decompose the sample signals, and the sample entropy and RMS value of each frequency band are calculated and normalized. The normalized parameter is used as the weight of the weighted average to calculate the weighted average sample entropy and RMS value. Finally, the two parameters are used to get new parameters. The results of fault diagnosis and anti-noise test show that the new feature extraction method can enlarge the distinction of the characteristics of different faults of planetary gearboxes and has good stability. Meanwhile, the new parameters have some anti-noise ability.关键词
振动与波/行星齿轮箱/小波包/样本熵/均方根值/特征提取Key words
vibration and wave/planetary gearbox/wavelet packet/sample entropy/RMS/feature extraction分类
机械制造引用本文复制引用
李伟,王付广,刘聪,徐培民..行星齿轮箱振动信号特征提取新方法[J].噪声与振动控制,2017,37(6):168-172,5.
